官方说明10 个来源MCP 服务8 天前
WaveSpeedAI/mcp-server
Run image, video, audi
在 GitHub 查看 ↗直链 · 无中转页
配置模板（请按你的客户端调整）
claude mcp add mcp-server -- npx -y mcp-server
这是根据仓库名生成的可粘贴骨架，命令行参数与包名请以该项目 README 为准。
- ★ 数取值
- 34 ★ · WaveSpeedAI/mcp-server · 取自该仓库的 GitHub 页面 · （2026-10-16 20:00:20 核对）
- 来源明细
- 收录自 punkpeye/awesome-mcp-servers 榜单（我们从中收集的条目之一） · 条目类型：MCP 服务
- 收录与活跃
- 收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 10 个来源列出
- 评分构成
- 综合分 1,003 · 34 ★ · 10 个来源 · mcp
常见问题（答案都来自我们的记录）
怎么安装？
我们【没有】从该仓库取到安装命令（我们的 install 覆盖率只有约 4%）。请看它的 README 或 releases 页。
它适合谁 / 用来做什么？
我们把它归在这些标签下: MCP 服务。标签来自条目自身，不是我们强加的分类。
谁维护它、还在更新吗？
仓库
WaveSpeedAI/mcp-server；我们收录于 2026-10-09；最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。第三方质量标记
WaveSpeed MCP Server
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
An MCP server for the WaveSpeed platform: run any model on the **live catalog** — image, video, audio, 3D — from Claude Code, Claude Desktop, Cursor, Cline, or any MCP client.
Built on the same design as the open-source @wavespeed/cli:
- **No hardcoded models.** The catalog comes from the live API (1h cache); new platform models work the day they ship.
- **One generation verb.** run_model executes anything; get_model_schema tells the agent what inputs a model actually accepts, so it reads before it writes.
- **Inputs are never mutated.** The one explicit transform is the @path marker — a "@./photo.jpg" value inside input uploads the file and substitutes its hosted URL. Bare paths are passed through untouched.
- **Honest pricing.** get_price quotes before you spend and names the inputs the quote was blind to (unpriced_inputs) instead of presenting a formula's floor as "the" price.
Tools
| Tool | What it does |
|---|---|
| list_models | Search the live catalog by text or modality type |
| get_model_schema | A model's real input schema (required, properties, defaults) |
| run_model | Submit + wait; rejects input keys the model doesn't accept; @path inputs upload automatically; returns output URLs |
| get_price | Cost estimate with unpriced_inputs / at_base_price disclosure |
| get_balance | Account credit balance |
| upload_file | Local file → hosted URL (24h content-hash dedupe) |
| get_prediction | Status/outputs of any run by id; optional wait_seconds to wait for it |
Some generations take minutes to hours. run_model waits up to wait_seconds (default 50, max 1800) and then returns done: false with the prediction id — the task keeps running server-side, and get_prediction picks it up. While waiting, both tools send MCP progress notifications that carry the prediction id.
Setup
Auth resolves from WAVESPEED_API_KEY, or from the CLI's stored login (wavespeed login) — one login covers both tools. Keys: wavespeed.ai/accesskey.
**Claude Code**
**Claude Desktop / other clients** (mcpServers config):
Example prompts
- *"Generate a 16:9 hero image of a cyberpunk skyline at golden hour."*
Built on the same design as the open-source @wavespeed/cli:
- **No hardcoded models.** The catalog comes from the live API (1h cache); new platform models work the day they ship.
- **One generation verb.** run_model executes anything; get_model_schema tells the agent what inputs a model actually accepts, so it reads before it writes.
- **Inputs are never mutated.** The one explicit transform is the @path marker — a "@./photo.jpg" value inside input uploads the file and substitutes its hosted URL. Bare paths are passed through untouched.
- **Honest pricing.** get_price quotes before you spend and names the inputs the quote was blind to (unpriced_inputs) instead of presenting a formula's floor as "the" price.
Tools
| Tool | What it does |
|---|---|
| list_models | Search the live catalog by text or modality type |
| get_model_schema | A model's real input schema (required, properties, defaults) |
| run_model | Submit + wait; rejects input keys the model doesn't accept; @path inputs upload automatically; returns output URLs |
| get_price | Cost estimate with unpriced_inputs / at_base_price disclosure |
| get_balance | Account credit balance |
| upload_file | Local file → hosted URL (24h content-hash dedupe) |
| get_prediction | Status/outputs of any run by id; optional wait_seconds to wait for it |
Some generations take minutes to hours. run_model waits up to wait_seconds (default 50, max 1800) and then returns done: false with the prediction id — the task keeps running server-side, and get_prediction picks it up. While waiting, both tools send MCP progress notifications that carry the prediction id.
Setup
Auth resolves from WAVESPEED_API_KEY, or from the CLI's stored login (wavespeed login) — one login covers both tools. Keys: wavespeed.ai/accesskey.
**Claude Code**
**Claude Desktop / other clients** (mcpServers config):
Example prompts
- *"Generate a 16:9 hero image of a cyberpunk skyline at golden hour."*
- 来源
- awesome · https://github.com/WaveSpeedAI/mcp-server
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